nicoboss/Qwen3-30B-A3B-Hybrid-Auto

Chat template from @phoebdroid. You can read about the unfortunate circumstances that forced me to recreate this model under https://huggingface.co/mradermacher/model_requests/discussions/1362. To get the full picture you will need to look at the edit history of his messages.

---

A hybrid model with the ability to enable step-by-step thinking, for each response, depending on the complexity of the prompt and enhanced tool calling support.

---

The following chat template is embedded within this model to enable hybrid reasoning:

{%- if tools %}
  {{- '<|im_start|>system\n' }}
  {%- if messages[0].role == 'system' %}
    {{- 'You are Qwen3 30B Hybrid Auto\n' + messages[0].content }}
  {%- endif %}
  {{- "\n\n# Important Guidelines:" }}
  {{- "\n* You have the ability to enable step-by-step thinking, for each response, depending on the complexity of the query. For complex tasks and challenging queries you must enable step-by-step thinking." }}
  {{- "\n* To enable step-by-step thinking, you must use <‌think‌> XML tag  at the beginning of generation. This will enable thinking. At the end of your thinking you must use <‌/think‌> XML tag,  and after that deliver your final answer to the user. " }}
  {{- "\n* If you use any spaces inside these tags, thinking will fail. Make sure to never use spaces inside the tags. " }}
  {{- "\n\n# Tools\n\nUpon user request you may call one or more of the following tools. \nYou are provided with the tool signatures within <tools></tools> XML tags:\n<tools>" }}
  {%- for tool in tools %}
    {{- "\n" }}
    {{- tool | tojson }}
  {%- endfor %}
  {{- "\n</tools>\n\nFor each tool call, return a json object with tool name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <tool-name>, \"arguments\": <args-json-object>}\n</tool_call>" }}
  {{- "\nBy default you have 5 tool-turns within a single assistant turn, if you ever need to chain more than 5 tools back-to-back, in a single turn, you need to first use turn_enabler to add more turns." }}
  {{- "\nRemember, tool_enabler itself will consume one tool-turn (it can enable multiple tools at once if needed). This means by default, you can call tool_enabler + 4 more tools in a single assistant turn." }}
  {{- "<|im_end|>\n" }}
{%- else %}
  {%- if messages[0].role == 'system' %}
    {{- '<|im_start|>system\n' }}
    {{- 'You are Qwen3 30B Hybrid Auto\n' + messages[0].content }}
    {{- "\n\n# Important Guidelines:" }}
    {{- "\n* You have the ability to enable step-by-step thinking, for each response, depending on the complexity of the query. For complex tasks and challenging queries you must enable step-by-step thinking." }}
    {{- "\n* To enable step-by-step thinking, you must use <‌think‌> XML tag  at the beginning of generation. This will enable thinking. At the end of your thinking you must use <‌/think‌> XML tag,  and after that deliver your final answer to the user. " }}
    {{- "\n* If you use any spaces inside these tags, thinking will fail. Make sure to never use spaces inside the tags. " }}
    {{- '<|im_end|>\n' }}  
  {%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
  {%- set index = (messages|length - 1) - loop.index0 %}
  {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
    {%- set ns.multi_step_tool = false %}
    {%- set ns.last_query_index = index %}
  {%- endif %}
{%- endfor %}
{%- for message in messages %}
  {%- if message.content is string %}
    {%- set content = message.content %}
  {%- else %}
    {%- set content = '' %}
  {%- endif %}
  {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
    {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
  {%- elif message.role == "assistant" %}
    {%- set reasoning_content = '' %}
    {%- if message.reasoning_content is string %}
      {%- set reasoning_content = message.reasoning_content %}
    {%- else %}
      {%- if '</think>' in content %}
        {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
        {%- set content = content.split('</think>')[-1].lstrip('\n') %}
      {%- endif %}
    {%- endif %}
    {%- if loop.index0 > ns.last_query_index %}
      {%- if loop.last or (not loop.last and reasoning_content) %}
        {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
      {%- else %}
        {{- '<|im_start|>' + message.role + '\n' + content }}
      {%- endif %}
    {%- else %}
      {{- '<|im_start|>' + message.role + '\n' + content }}
    {%- endif %}
    {%- if message.tool_calls %}
      {%- for tool_call in message.tool_calls %}
        {%- if (loop.first and content) or (not loop.first) %}
          {{- '\n' }}
        {%- endif %}
        {%- if tool_call.function %}
          {%- set tool_call = tool_call.function %}
        {%- endif %}
        {{- '<tool_call>\n{"name": "' }}
        {{- tool_call.name }}
        {{- '", "arguments": ' }}
        {%- if tool_call.arguments is string %}
          {{- tool_call.arguments }}
        {%- else %}
          {{- tool_call.arguments | tojson }}
        {%- endif %}
        {{- '}\n</tool_call>' }}
      {%- endfor %}
    {%- endif %}
    {{- '<|im_end|>\n' }}
  {%- elif message.role == "tool" %}
    {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
      {{- '<|im_start|>tool' }}
    {%- endif %}
    {{- '\n<tool_response>\n' }}
    {{- content }}
    {{- '\n</tool_response>' }}
    {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
      {{- '<|im_end|>\n' }}
    {%- endif %}
  {%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
    {{- '<|im_start|>assistant\n' }}
{%- endif %}
{%- if tools %}

---

Qwen3-30B-A3B-YOYO

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using Qwen/Qwen3-30B-A3B-Base as a base.

Models Merged

The following models were included in the merge:

• Qwen/Qwen3-30B-A3B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B